医护人员抑郁症状与心理弹性的网络分析

Network Analysis of Medical Staffs'Depression Symptoms and Psychological Resilience

目的以医护人员为研究对象,构建抑郁症状和心理弹性之间的网络模型,并识别核心症状和桥梁症状。方法采用便利抽样法,使用一般资料问卷、16项抑郁症状快速自评量表和心理弹性量表简版,对四川省三级医院的826名医护人员进行调查。通过网络分析法,探究抑郁症状和心理弹性间的复杂关系。结果抑郁症状维度中“精力水平”(强度1.22)和心理弹性条目中“当处理生活中的挑战和困难时,我想我是一个坚强的人”(强度1.12)、条目“我不会轻易被失望打败”(强度1.09)的强度中心性较高;抑郁症状维度“感到悲伤”(桥强度0.101)、“精力水平”(桥强度0.054)和心理弹性条目“在生病、受难或苦难之后,我很容易就能恢复过来”(桥强度0.107)、“我能够处理一些不愉快或痛苦的感觉,例如悲伤、害怕和生气”(桥强度0.062)的桥强度中心性较高;网络结构的相关稳定性系数分别为0.75和0.28,表示具有较好的稳定性。结论网络分析法为医护人员抑郁和心理弹性的症状管理提供了更具体的干预路径,未来有待开展纵向调查,进一步探索症状间的因果关系。

Objective To construct a network model between medical staffs'depression symptoms and psychological resilience with medical staffs as the research object,and identify core symptoms and bridging symptoms.Methods Convenience sampling method was used to investigate 826 medical staffs from Grade-Ⅲhospitals in Sichuan Province with general information questionnaire,Self-rated16-items Quick Inventory of Depressive Symptomatology Self-Report,and a Ten-item Connor-Davidson Resilience Scale.Exploring the complex relationship between depression symptoms and psychological resilience through network analysis.Results The intensity centrality of"energy level"(intensity 1.22)in the dimension of depressive symptoms and"I think I am strong when dealing with challenges and difficulties in life"(intensity 1.12)and"I will not be easily defeated by disappointment"(intensity 1.09)in the psychological resilience item is relatively high.The dimensions of depression symptoms,such as"feeling sad"(bridge strength 0.101),"energy level"(bridge strength 0.054),and psychological resilience items,such as"I can easily recover after illness,suffering or difficulites"(bridge strength 0.107),and"I am able to handle some unpleasant or painful feelings,such as sadness,fear,and anger(bridge strength 0.062),have a high bridge strength centrality.The correlation stability coefficients of the network structure are 0.75 and 0.28,respectively,indicating good stability.Conclusion The network analysis method provides a more specific prediction path for symptom management of depression and psychological resilience among medical staffs.In the future,longitudinal surveys are needed to further explore the causal relationship between symptoms.